Course Description

Diploma in Mastering Machine Learning with R





In this free online course, learn about the algorithms and models involved in mastering Machine learning with R. Learn more about the approaches, applications and methods of machine learning in this free online course. We’ll show you examples of applications that use this method and measures tasks best solved using this science. In addition, explore how to use the Root-mean-square deviation method to assess the closeness between a model and the actual dataset. Expand your machine learning knowledge and skills by signing up today!

The Diploma in Mastering Machine Learning with R course at Alison is listed in Courses.ie's national courses finder.
Training ProviderAlison
Course TypeOnline Learning
Course QualificationCPD Diploma
Course Duration6-10 hours
Course FeeFree
Entry RequirementsLike all courses on the Alison Free Learning platform this is a free, CPD-accredited course. A Graduate can choose to buy a certificate or diploma upon successful completion of a course, but this is not required or necessary.

At Alison we believe that free education, more than anything, has the power to break through boundaries and transform lives.

Alison is the world’s largest free online empowerment platform for education and skills training, offering over 5000 CPD accredited courses and a range of impactful career development tools. It is a for-profit social enterprise dedicated to making it possible for anyone, to study anything, anywhere, at any time, for free online, at any subject level. Through our mission, we are a catalyst for positive social change, creating opportunity, prosperity, and equality for everyone.
Career PathWhat You Will Learn In This Free Course
• Define the concept of Machine learning
• Explain the goal of a linear regression model
• Discuss the concept of overfitting a model
• Evaluate the standard packages used for Exploratory Data Analysis
• Describe data manipulation and visualization in R
• Recognize the most common Linear Regression cost function
• Identify data processing steps in R
• Recall the reasons why data preprocessing is necessary
• Recall the examples of applications that use Machine learning
Course Code4030
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